Convergence and stability properties of minimal polynomial and reduced rank extrapolation algorithms
SIAM Journal on Numerical Analysis
Elements of statistical computing: numerical computation
Elements of statistical computing: numerical computation
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
SIAM Journal on Optimization
Relaxed Steepest Descent and Cauchy-Barzilai-Borwein Method
Computational Optimization and Applications
Computational Statistics & Data Analysis
Learning from Incomplete Data
Accelerating the convergence of the EM algorithm using the vector ε algorithm
Computational Statistics & Data Analysis
Acceleration schemes with application to the EM algorithm
Computational Statistics & Data Analysis
Editorial: Second special issue on statistical algorithms and software
Computational Statistics & Data Analysis
Probabilistic self-organizing maps for continuous data
IEEE Transactions on Neural Networks
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Hidden semi-Markov models are a generalization of the well-known hidden Markov model. They allow for a greater flexibility of sojourn time distributions, which implicitly follow a geometric distribution in the case of a hidden Markov chain. The aim of ...